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Lightspeed vct 64 detector scanner

Manufactured by GE Healthcare
Sourced in United Kingdom

The LightSpeed VCT 64-detector scanner is a computed tomography (CT) imaging system manufactured by GE Healthcare. It is designed to capture high-quality images of the body's internal structures. The scanner uses 64 individual X-ray detectors to acquire data, which is then processed to generate detailed cross-sectional images.

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6 protocols using lightspeed vct 64 detector scanner

1

Chest CT Scanning Protocol for Lung Imaging

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The CT exams were acquired on a LightSpeed VCT 64-detector scanner (GE Healthcare, Waukesha, WI) with subjects holding their breath at end inspiration without contrast at the following parameters: 64×0.625 mm detector configuration, 0.969 pitch,120 kVp tube energy, 250 mA tube current, and 0.4 sec gantry rotation (or 100 mAs). Images were reconstructed to encompass the entire lung field in 512×512 pixel matrix using the GE “bone” kernel at 0.625 mm section thickness and 0.625 mm interval. Pixel dimensions ranged from 0.549 to 0.738 mm, depending on participant body size. The “bone” kernel was used because of its ability to analyze both the parenchyma and airways [21 (link)]. The subjects were instructed in breathing to reach TLC prior to scanning; however, no real-time measures were employed to ensure breathing compliance such spirometry-gated CT acquisition. The CT exams were reviewed to ensure compliance with the above mentioned chest CT scanning protocol, and these exams were also visually reviewed for artifacts that would contribute to poor image quality (e.g., subject motion and/or metal artifacts). Exams that did not meet these requirements were not analyzed.
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2

Quantitative Assessment of Emphysema Severity

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Chest CT examinations were performed with a General Electric (GE) LightSpeed VCT (64-detector) scanner at a radiation exposure of 100 mAs [6] (link), [8] (link). A single expert radiologist, blinded to subject identities and other characteristics, interpreted the CT images using a validated [6] (link). 6-point semi-quantitative visual scoring system to define emphysema severity (0 = none, 1 = trace/minimal, 2 = mild, 3 = moderate, 4 = severe, 5 = very severe), corresponding to 0%, <10%, 10–25%, 26–50%, 51–75%, and >75% visual emphysema [6] (link)–[8] (link). Our group has previously shown these visual emphysema scores are associated with clinically important outcomes in smokers [6] (link)–[8] (link), and the validity and comparability of these assessments with other radiographic measures of emphysema has also been established [2] (link), [3] (link).
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3

High-Resolution CT Lung Fissure Analysis

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The CT examinations were acquired on a LightSpeed VCT 64-detector scanner (GE Healthcare, Waukesha, WI) with subjects holding their breath at the end of inspiration. The CT data were acquired using a helical technique without contrast at the following parameters: 32×0.625 mm detector configuration, 0.969 pitch,120 kVp tube energy, 250 mA tube current, and 0.4 sec gantry rotation (or 100 mAs). Images were reconstructed to encompass the entire lung field in 512×512 pixel matrix using the GE “bone” kernel at 0.625 mm section thickness and 0.625 mm interval. Pixel dimensions ranged from 0.549 to 0.738 mm, depending on participant body size. This high resolution enables a relatively reliable identification of pulmonary fissure and a relatively accurate quantification of their integrities.
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4

Quantifying Emphysema on Chest CT in COPD

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Results of pulmonary function tests were adjusted to standard population-derived predicted values (24 ). COPD was defined by the presence of fixed expiratory airflow obstruction, (i.e., a ratio of the forced expiratory volume in 1 s [FEV1] to forced vital capacity [FVC] [FEV1/FVC] <0.70) (24 ). Subjects with COPD were further classified by severity according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria, which are based on percent predicted (pp) FEV1: GOLD 1 = FEV1pp >80%; GOLD 2 = >50% FEV1pp <80%; GOLD 3 = >30% FEV1pp <50%; and GOLD 4 = FEV1pp <30% (24 ).
Chest CT scans were performed with a LightSpeed VCT 64-Detector Scanner (GE Healthcare, Little Chalfont, United Kingdom) without i.v. contrast and quantified as detailed previously (25 (link)). Briefly, the extent of emphysema (defined as parenchymal lung loss) was calculated by traditional density mask analyses on inspiratory CT scans as the percentages of total lung volume with attenuation ≤−2950 Hounsfield units (F950). The presence of emphysema was defined as F950 >0.05 (26 (link)).
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5

Quantifying Emphysema on Chest CT in COPD

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Results of pulmonary function tests were adjusted to standard population-derived predicted values (24 ). COPD was defined by the presence of fixed expiratory airflow obstruction, (i.e., a ratio of the forced expiratory volume in 1 s [FEV1] to forced vital capacity [FVC] [FEV1/FVC] <0.70) (24 ). Subjects with COPD were further classified by severity according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria, which are based on percent predicted (pp) FEV1: GOLD 1 = FEV1pp >80%; GOLD 2 = >50% FEV1pp <80%; GOLD 3 = >30% FEV1pp <50%; and GOLD 4 = FEV1pp <30% (24 ).
Chest CT scans were performed with a LightSpeed VCT 64-Detector Scanner (GE Healthcare, Little Chalfont, United Kingdom) without i.v. contrast and quantified as detailed previously (25 (link)). Briefly, the extent of emphysema (defined as parenchymal lung loss) was calculated by traditional density mask analyses on inspiratory CT scans as the percentages of total lung volume with attenuation ≤−2950 Hounsfield units (F950). The presence of emphysema was defined as F950 >0.05 (26 (link)).
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6

Non-contrast Chest CT Imaging Protocol

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The CT images were acquired using a LightSpeed VCT 64-detector scanner (GE Healthcare), with subjects holding their breath at the end of inspiration without contrast. The following CT parameters were used: 64x0.625 mm detector configuration, 0.969 pitch, 120 kVp tube energy, 250 mA tube current and 0.4 sec gantry rotation (or 100 mAs). The CT scan images were saved as DICOM format.
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